Full Stack AI Developer
At a glance
Mid-level AI Engineering role at Pavago. Remote, Philippines.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Create a shared warehouse and metrics layer, then build the pipelines, monitoring and reports that keep business data usable
- Connect business systems through REST APIs and webhooks, and automate alerts and scorecards for operational checks
- Build AI assistants that use company data, including retrieval, text-to-SQL, agents and workflows with tool access
- Develop dashboards and web apps, with backend services for internal needs and future customer-facing features
- Secure and support production systems through access controls, deployment infrastructure, monitoring, documentation and runbooks
What you bring
- At least five years building full-stack software for production use
- At least two years working on data pipelines, warehouses and applications powered by large language models
- Strong SQL skills plus hands-on experience with data modeling, orchestration, monitoring and cloud warehouses such as BigQuery or Snowflake
- Experience with REST APIs, webhooks, TypeScript or JavaScript, React or a similar framework, and Node.js or Python services
- Practical LLM development experience, including agents, retrieval, text-to-SQL and evaluation
Who this fits
You’ll suit a role where you shape architecture and technical choices, take systems from planning through release, and explain technical work to non-technical partners. The job is remote from the Philippines and requires at least four hours of daily overlap with U.S. Pacific Time. Expect primarily asynchronous work, regular collaboration and weekly demos.
From the employer
Position Type: Full-Time | Remote
Working Hours: Must overlap at least 4 hours with U.S. Pacific Time
About the Role
We are looking for a senior Full Stack AI Developer to lead the development of an internal AI-powered operating platform.
You will work across data engineering, API integrations, AI/LLM applications, dashboards, automation, and modern web development. You will help design the architecture, build production-ready systems, and improve the platform based on real business needs.
This is a high-ownership role for someone who can propose solutions, make technical decisions, and take projects from idea to production.
Key Responsibilities
Data & Platform Development
- Build and maintain a centralized data warehouse using SQL and modern data tools.
- Develop a shared metrics layer so business metrics are consistently defined across dashboards.
- Build data pipelines, models, monitoring, and automated reporting.
- Connect data from multiple business systems into a centralized platform.
API Integrations & Automation
- Build and maintain REST API and webhook integrations with platforms such as ServiceTitan, Dialpad, Brex, Ramp, QuickBooks Online, payroll, Google Ads, and other business systems.
- Develop event-driven automations that monitor business processes and trigger alerts when requirements are missed.
- Build automated checks and scorecards for operations, payroll, accounting, and marketing.
AI & LLM Development
- Build AI-powered assistants that can answer business questions using company data.
- Develop retrieval, text-to-SQL, semantic layers, agents, and tool-use workflows.
- Design prompts, evaluations, guardrails, and systems that control AI cost and latency.
- Build AI applications that are reliable enough for real users and business operations.
Dashboards & Web Applications
- Build dashboards for operations, sales, finance, marketing, and customer service.
- Develop modern web applications using TypeScript/JavaScript and React or similar technologies.
- Build backend services using Node.js or Python.
- Support future customer-facing applications for booking, payments, invoices, job photos, and service history.
Security & Infrastructure
- Implement secure authentication, OAuth/SSO, role-based access, secrets management, and audit logging.
- Follow least-privilege access and appropriate PII handling practices.
- Support CI/CD, infrastructure-as-code, monitoring, and production reliability.
- Build systems that are properly documented and supported with runbooks.
Required Experience & Skills
- 5+ years of professional full-stack development experience with production systems.
- 2+ years of experience building data pipelines, data warehouses, and LLM-powered applications.
- Strong experience with SQL and cloud data warehouses such as BigQuery, Snowflake, or PostgreSQL.
- Experience with dbt or equivalent data modeling tools, orchestration, and monitoring.
- Strong experience building REST APIs and webhook integrations.
- Hands-on experience with AI/LLM applications, including agents, tool use, text-to-SQL, retrieval, and evaluation.
- Strong TypeScript/JavaScript and React or similar frontend experience.
- Experience with Node.js or Python backend services.
- Experience with serverless or edge technologies; Cloudflare Workers is a plus.
- Experience with CI/CD and infrastructure-as-code.
- Strong understanding of application security, authentication, permissions, secrets, and audit logging.
- Ability to work independently and take ownership of architecture and technical decisions.
- Strong written and verbal English communication skills.
Preferred Qualifications
- Experience integrating with ServiceTitan, Jobber, Housecall Pro, or similar field-service platforms.
- Experience with React Native or Flutter.
- Experience working with business SaaS integrations at scale.
- Experience handling customer data and building systems with SOC 2-style security controls.
- Experience building AI assistants used by real business users.
What Makes You a Strong Fit
- You can design the architecture, not just implement assigned tickets.
- You build production-ready systems that are monitored, documented, and maintainable.
- You understand how technology connects to business metrics and outcomes.
- You can explain complex technical concepts to non-technical stakeholders.
- You take ownership from planning through deployment and ongoing improvement.
- You are comfortable working remotely with async communication and regular demos.
Working Style
You will work remotely with at least 4 hours of daily overlap with U.S. Pacific Time. The team works primarily through async communication, with regular collaboration and weekly demos of shipped work.
Interview Process
- AI Screening
- Client Interview
- Offer Stage